Development environment

#1

I’m quite new to deep q learning.
So far I’ve tried using the chapter 11 notebooks on google collab.

I’ve logged a couple of issues, but reading more here, i maybe better off using anaconda or docker locally.

My issue there is I don’t have CUDA GPU capability.
Any suggestions on where to run these environments in the cloud?

Thanks
Martin

#2

I just found

Notebooks for intro to reinforcement learning on Google collab

Which might provide answers for running on Google collab

#3

I have build a docker image with a jupyter quant environment. it has everything required to run machine learning for trading code. you might need to install some additional packages, but the image can handle that fine.

I had to find the sweet spot between being usefull, fully features and have reasonable size. so most machine learnings utisl and time series packages are in.